What kind of data does a scatterplot graph typically display?

A scatterplot graph is designed to display data points that reflect the occurrence of specific events, behaviors, or measurements across a particular time period. This type of graph is especially useful for identifying patterns or trends that may exist in the occurrence of behavior, as each point on the scatterplot corresponds to a specific instance where the behavior was recorded, plotted against time.

The primary function of the scatterplot is to visualize the relationship between variable events, indicating the frequency of behaviors in relation to their timing. This helps practitioners evaluate fluctuations in behavior and understand potential factors contributing to those patterns. Therefore, this makes it an ideal method for tracking behavior occurrences over time, showcasing changes, and identifying any correlations that may exist between different occurrences.

The other options may involve data collection strategies, but they do not accurately represent the features and functions of a scatterplot. Qualitative behavior observations and numerical ratings of behavior usually employ different forms of data representation, while interviews and surveys are more about gathering subjective information rather than capturing measurable behaviors over time.